The Ontario study did refer to available Statistics Canada data, as well as data from the Ontario Energy Board's, for example, so they accessed that kind of data. The California study was interesting because, in addition to the usual statistical venues, they also conducted outreach and quite intensive workshops in a number of identified low-income demographic communities. Then they also convened expert input in round tables to make sure that they were digging deep enough, as compared to what they could assess.
Sometimes it's difficult to be sure that the Statistics Canada data or the national statistics data are reaching all of these varied communities, particularly if we're talking about people whose tenure and homelessness may be impacted by high energy costs, maybe changing addresses quickly could be missed in this type of data collection and other sorts of challenges. This kind of targeted effort seemed to be able to give them some pretty interesting results in California.